{"id":"W2133383511","doi":"10.1109/acc.2006.1657536","title":"Fault detection and isolation based on novel unknown input observer design","year":2006,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fault detection and isolation; Observer (physics); Actuator; Isolation (microbiology); Fault (geology); Stuck-at fault; Control theory (sociology); Computer science; Nonlinear system; MATLAB; Control engineering; Engineering; Artificial intelligence; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005644377,0.0006898265,0.0009227915,0.0002781524,0.0002053017,0.0008059185,0.001093661,0.0008369808,0.001206345],"category_scores_gemma":[0.001212564,0.0002783572,0.0005066321,0.0001952291,0.0005580995,0.0008129071,0.0008105735,0.0009836382,0.0003276568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004733097,"about_ca_system_score_gemma":0.0007544563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103572,"about_ca_topic_score_gemma":0.001127238,"domain_scores_codex":[0.9994844,0.00008200351,0.00004963913,0.0001324771,0.0001968309,0.00005451792],"domain_scores_gemma":[0.9994208,0.0001505756,0.0001671174,0.00006972011,0.0001658055,0.00002593253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004180919,0.0001807375,0.001202875,0.0009635249,0.0001337608,0.0005925313,0.0005208684,0.6192871,0.1328141,0.05590919,0.002272432,0.1857048],"study_design_scores_gemma":[0.00002798738,0.0001211519,0.0001529341,0.00001697145,0.00001541522,0.00005991912,0.000009881504,0.9881417,0.00803612,0.001778256,0.001629734,0.000009919129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004673884,0.0001440875,0.9935283,0.00004969841,0.00005245591,0.00002934834,0.00001395303,0.0003290001,0.001179211],"genre_scores_gemma":[0.783299,0.0006683901,0.210873,0.0001333798,0.0001031134,0.0003463208,0.000145122,0.00004043235,0.004391265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001206345,"threshold_uncertainty_score":0.004035592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212401125247183,"score_gpt":0.1910086313328769,"score_spread":0.178884620080405,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}